Back to search

Article

MechAInistic: A Reviewer-Supervised Multi-Agent LLM System for Auditable Mechanistic Drug-Hypothesis Generation

2026-05-13

Abstract excerpt

<h4>SUMMARY</h4> LLM agents are increasingly used for scientific reasoning, but their fluent-sounding outputs can diverge from verifiable computational evidence, limiting their reliability for biomedical hypothesis generation. We developed MechAInistic, a multi-agent system in which an independently configured Reviewer agent supervises a planning Architect agent at each stage of the workflow, with all reasoning g...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
ed3b8352-e208-5765-ad25-998a0aa06ba4
DOI
10.64898/2026.05.11.723319
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
MechAInistic: A Reviewer-Supervised Multi-Agent LLM System for Auditable Mechanistic Drug-Hypothesis GenerationDOI 10.64898/2026.05.11.723319
Select a neighboring publication to make it the new centre.